Abstract
[(18)F]Flortaucipir is a PET tau tracer used to visualize tau binding in Alzheimer's disease (AD) in vivo. The present study evaluated the performance of several methods to obtain parametric images of [(18)F]flortaucipir. One hundred and thirty minutes dynamic PET scans were performed in 10 AD patients and 10 controls. Parametric images were generated using different linearization and basis function approaches. Regional binding potential (BP(ND)) and volume of distribution (V(T)) values obtained from the parametric images were compared with corresponding values derived using the reversible two-tissue compartment model (2T4k_V(B)). Performance of SUVr parametric images was assessed by comparing values with distribution volume ratio (DVR) and SRTM-derived BP(ND) estimates obtained using non-linear regression (NLR). Spectral analysis (SA) (r(2 )= 0.92; slope = 0.99) derived V(T) correlated well with NLR-derived V(T). RPM (r(2 )= 0.95; slope = 0.98) derived BP(ND) correlated well with NLR-derived DVR. Although SUVr(80-100 min) correlated well with NLR-derived DVR (r(2 )= 0.91; slope = 1.09), bias in SUVr appeared to depend on uptake time and underlying level of specific binding. In conclusion, RPM and SA provide parametric images comparable to the NLR estimates. Individual SUVr values are biased compared with DVR and this bias requires further study in a larger dataset in order to understand its consequences.